This study approached a physically based, semi-distributed SWAT model to test the model sensitivity to the spatial distribution of precipitation. Ten scenarios of precipitation from five scattered rain gauges in an Arctic watershed Målselv in northern Norway were used as inputs to run the SWAT model. Streamflows were simulated. The model runs at monthly time interval based on the historical data of ...

Floating glacial ice features of various sizes pose a substantial threat to the structural integrity of offshore structures in ice-prone regions. Relatively small ice feathers, e.g., bergy bits and growlers, are a major concern because they are more difficult to detect by marine radars and perform concurrent ice management operations, especially in extreme sea states.<p> <p>This two-part companion ...

The Arctic region is the most sensitive region to climate change. Hydrological models are fundamental tools for climate change impact assessment. However, due to the extreme weather conditions, specific hydrological process, and data acquisition challenges in the Arctic, it is crucial to select suitable hydrological model(s) for this region. In this paper, a comprehensive review and comparison of ...

Despite all efforts to mitigate global warming, its rate and magnitude are still rising where transportation is considered to be an important contributor. In the Arctic regions however, unstable weather conditions, strong seasonal variations, and long harsh winters result in additional challenges to transportation in different ways such as those related to environment, human health, safety, and ...

One of the thorny problems perplexing the maritime industry is to comply with existing and soon-to-be-enacted regulations towards emissions reduction from shipping. This problem has been discussed in this study under three viewpoints: i) the marine engine efficiency, ii) the decision-making process for selecting the technologies for reducing air emissions from shipping and iii) the challenges in the ...

Advances in artificial intelligence are driving the development of intelligent transportation systems, with the purpose of enhancing the safety and efficiency of such systems. One of the most important aspects of maritime safety is effective collision avoidance. In this study, a novel dual linear autoencoder approach is suggested to predict the future trajectory of a selected vessel. Such predictions ...

Wind energy is one of the important renewable energies that get fast development in recent years. The development of wind turbines can have potential environmental impact on the surrounding environment. Especially when the wind turbines are built near the watersheds, water quality in the watershed may be degraded. In this study, the water quality in Bogdalen watershed that in or surrounding Kvitfjell ...

Data driven networks applicable for shipping industrial applications to create decentralized system intelligence are considered in this study. Such system intelligence can facilitate to improve the respective operational efficiency in local (i.e. vessel operations) and global (i.e. logistics operations) scales in shipping as the main advantage. The main features of these data driven networks are ...

To investigate the heavy metal pollution in leachate from sanitary landfill site of municipal solid waste, a survey was conducted in Tromsø, Northern Norway. Results shows that contents of heavy metals in landfill leachate follow the order Mn>Zn>Ni>Cu>Cr>As>Pb>Cd>Hg, and the order of the risk of different heavy metals is: Mn>Ni>As>Zn>Cr>Pb>Cd>Hg>Cu. The concentrations of Mn and Ni in landfill leachate ...

This paper considers a non-preemptive open shop scheduling problem (OSSP), in which machines are not available to process jobs on known periodic interval times resulted from periodic service repair, rest period, and so on. Asymmetric transportation time between machines is considered, which can be different from one job to another. The objective is to minimize the weighted mean completion time (WMCT). ...